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整合进化、文化与计算精神病学:一种多层次系统方法。

Integrating Evolutionary, Cultural, and Computational Psychiatry: A Multilevel Systemic Approach.

作者信息

Constant Axel, Badcock Paul, Friston Karl, Kirmayer Laurence J

机构信息

Department of Philosophy, The University of Sydney, Darlington, NSW, Australia.

Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia.

出版信息

Front Psychiatry. 2022 Apr 4;13:763380. doi: 10.3389/fpsyt.2022.763380. eCollection 2022.

Abstract

This paper proposes an integrative perspective on evolutionary, cultural and computational approaches to psychiatry. These three approaches attempt to frame mental disorders as multiscale entities and offer modes of explanations and modeling strategies that can inform clinical practice. Although each of these perspectives involves systemic thinking, each is limited in its ability to address the complex developmental trajectories and larger social systemic interactions that lead to mental disorders. Inspired by computational modeling in theoretical biology, this paper aims to integrate the modes of explanation offered by evolutionary, cultural and computational psychiatry in a multilevel systemic perspective. We apply the resulting Evolutionary, Cultural and Computational (ECC) model to Major Depressive Disorder (MDD) to illustrate how this integrative approach can guide research and practice in psychiatry.

摘要

本文提出了一种关于精神病学的进化、文化和计算方法的综合观点。这三种方法试图将精神障碍构建为多尺度实体,并提供可指导临床实践的解释模式和建模策略。尽管这些观点都涉及系统思维,但它们在处理导致精神障碍的复杂发展轨迹和更大的社会系统相互作用方面的能力都有限。受理论生物学中计算建模的启发,本文旨在从多层次系统的角度整合进化精神病学、文化精神病学和计算精神病学所提供的解释模式。我们将由此产生的进化、文化和计算(ECC)模型应用于重度抑郁症(MDD),以说明这种综合方法如何能够指导精神病学的研究和实践。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c09/9013887/e2211ebf691f/fpsyt-13-763380-g0001.jpg

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